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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Regular saving of work and plans for the systematic backing up of data should be part of the workflow procedures of any enterprise. However, enterprises should be prepared for the worst-case scenario, such as a catastrophic network failure, which can cause the entire data collection of a company to disappear completely.

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Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!

Smart Data Collective

This is where data collection steps onto the pitch, revolutionizing football performance analysis in unprecedented ways. The Evolution of Football Analysis From Gut Feelings to Data-Driven Insights In the early days of football, coaches relied on gut feelings and personal observations to make decisions.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Data protection strategy: Key components and best practices

IBM Big Data Hub

In response, many organizations are focusing more on data protection , only to find a lack of formal guidelines and advice. While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy?

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The Growing Importance Of Data Collection For Customer Service

Smart Data Collective

Fewer experts have emphasized the significance of big data. However, it is becoming increasingly clear that big data is critical to the viability of any customer service strategy. Freshdesk published an article on the importance of big data in customer service. Big data is making them more reliable.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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6 business risks of shortchanging AI ethics and governance

CIO Business Intelligence

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

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